| Deep learning for misinformation detection on online social networks: a survey and new perspectives MR Islam, S Liu, X Wang, G Xu Social Network Analysis and Mining 10 (1), 1-20, 2020 | 311 | 2020 |
| Analyzing changes in hotel customers’ expectations by trip mode S Liu, R Law, J Rong, G Li, J Hall International Journal of Hospitality Management 34, 359-371, 2013 | 221 | 2013 |
| Deep learning for decision making and the optimization of socially responsible investments and portfolio NNY Vo, X He, S Liu, G Xu Decision Support Systems 124, 113097, 2019 | 197 | 2019 |
| Mining permission patterns for contrasting clean and malicious android applications V Moonsamy, J Rong, S Liu Future Generation Computer Systems 36, 122-132, 2014 | 145 | 2014 |
| Leveraging unstructured call log data for customer churn prediction NNY Vo, S Liu, X Li, G Xu Knowledge-Based Systems 212, 106586, 2021 | 111 | 2021 |
| Causality learning: A new perspective for interpretable machine learning G Xu, TD Duong, Q Li, S Liu, X Wang arXiv preprint arXiv:2006.16789, 2020 | 60 | 2020 |
| Leveraging sentiment distributions to distinguish figurative from literal health reports on Twitter R Biddle, A Joshi, S Liu, C Paris, G Xu Proceedings of the web conference 2020, 1217-1227, 2020 | 47 | 2020 |
| Discovering dynamic adverse behavior of policyholders in the life insurance industry MR Islam, S Liu, R Biddle, I Razzak, X Wang, P Tilocca, G Xu Technological Forecasting and Social Change 163, 120486, 2021 | 44 | 2021 |
| Causal optimal transport for treatment effect estimation Q Li, Z Wang, S Liu, G Li, G Xu IEEE transactions on neural networks and learning systems 34 (8), 4083-4095, 2021 | 31 | 2021 |
| Learning with privileged information for photo aesthetic assessment Y Shu, Q Li, S Liu, G Xu Neurocomputing 404, 304-316, 2020 | 30 | 2020 |
| NotiFi: A ubiquitous WiFi-based abnormal activity detection system D Zhu, N Pang, G Li, S Liu 2017 international joint conference on neural networks (IJCNN), 1766-1773, 2017 | 30 | 2017 |
| Preference Relation-based Markov Random Fields for Recommender Systems S Liu, G Li, T Tran, Y Jiang Machine Learning 106 (4), 547-547, 2017 | 28 | 2017 |
| Leveraging multi-level dependency of relational sequences for social spammer detection J Yin, Q Li, S Liu, Z Wu, G Xu Neurocomputing 428, 130-141, 2021 | 26 | 2021 |
| K-complex detection using a hybrid-synergic machine learning method HQ Vu, G Li, NS Sukhorukova, G Beliakov, S Liu, C Philippe, H Amiel, ... IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2012 | 26 | 2012 |
| Automated Underwriting in Life Insurance: Predictions and Optimisation R Biddle, S Liu, G Xu The 29th Australasian Database Conference, 2018 | 22 | 2018 |
| WiseFi: Activity localization and recognition on commodity off-the-shelf WiFi devices D Zhu, N Pang, G Li, S Liu 2016 IEEE 18th International Conference on High Performance Computing and …, 2016 | 21 | 2016 |
| Identifying microphone from noisy recordings by using representative instance one class-classification approach HQ Vu, S Liu, X Yang, Z Li, Y Ren Journal of networks, 2012 | 21 | 2012 |
| On completing sparse knowledge base with transitive relation embedding Z Zhou, S Liu, G Xu, W Zhang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3125-3132, 2019 | 19 | 2019 |
| Locally private Jaccard similarity estimation Z Yan, Q Wu, M Ren, J Liu, S Liu, S Qiu Concurrency and Computation: Practice and Experience 31 (24), e4889, 2019 | 18 | 2019 |
| Knowledge-based Recommendation with Hierarchical Collaborative Embedding Z Zhou, S Liu, G Xu, X Xing, J Yin, Y Li, W Zhang The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2018 | 17 | 2018 |
Guandong Xu, PhDChair Professor EdUHK, Professor UTSZweryfikowany adres z uts.edu.au